tooluniverse-epigenomics
Genomics and Epigenomics Data Processing
Production-ready skill combining Python computation (pandas, scipy, numpy, pysam, statsmodels) with ToolUniverse annotation tools for epigenomics analysis.
LOOK UP, DON'T GUESS
When uncertain about any scientific fact, SEARCH databases first.
When to Use
Methylation data, ChIP-seq peaks, ATAC-seq, multi-omics integration, genome-wide epigenomic statistics. Keywords: methylation, CpG, ChIP-seq, ATAC-seq, histone, chromatin, epigenetic.
NOT for: RNA-seq DEG, variant calling, gene enrichment, protein structure.
Key Principles
- Data-first - Load/inspect before analysis
- Question-driven - Extract specific numeric answer
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